MongoDB Map Reduce for LOG table

mapreduce.js

///////////////////////////////////////////////////////////////////////////////
// Shema                                                                     //
///////////////////////////////////////////////////////////////////////////////
var Logs = new Schema({
    ip: { type: String, required: true, trim: true },
    query: {type: Object},
    requestHeaders: {type: Object},
    requestBody: {type: Object},
    responseHeaders: {type: Object},
    responseBody: {type: Object},
    data: {type: Buffer, required: false},
    responseStatus: {type: Number, default: 0, required: true},
    status: {type: Number, default: 0, required: true},
    date: { type: Date, default: Date.now },
    time: {type: Number, default: 0, required: true},
    method: { type: Schema.Types.ObjectId, ref: 'Methods' },
    digestor: { type: Schema.Types.ObjectId, ref: 'Methods' }
});

///////////////////////////////////////////////////////////////////////////////
// Map Reduce                                                                //
///////////////////////////////////////////////////////////////////////////////
var mapF = function() {
    emit(this.ip, this.time);
};
var reduceF = function(keyCustId, times) {
    return {
        "sum": Array.sum(times),
        "avg": Array.avg(times),
        "stdDev": Array.stdDev(times)
    }
};
//db.logs.find({date: {$gte: ISODate("2014-03-16T03:00:00.000Z"), $lt: ISODate("2014-03-23T03:00:00.000Z")}}).limit(10)
db.logs.mapReduce(
    mapF,
    reduceF,
    { out: { inline: 1 } }
)

// Return times greater than 3
db.logs.aggregate({ 
    $group: { 
            _id: "$digestor",
            totalTimes: { $sum: "$time" } 
        } 
    }, { 
    $match: {
            totalTimes: { $gte: 3 } 
        } 
});

db.logs.find({
    "time": {"$gte": 3}
});